This Catalyst addresses one of the most persistent barriers to autonomous network operations: fragmented, inaccurate, and siloed inventory systems. CSPs today struggle with manual reconciliation, poor data quality, and limited real-time visibility across hybrid networks—issues that delay fault resolution, increase OpEx, and undermine customer trust. This Catalyst introduces an AI-driven, end-to-end inventory management foundation that unifies autonomous reconciliation, cognitive inventory assurance, an AI inventory assistant, and digital twin–based “What-If” simulation into a single, operator-ready framework. leveraging TM Forum open APIs, ODA components, and advanced AI agents, the solution automatically reconciles inventory data, predicts failures before they occur, and provides real-time operational insights with trusted accuracy. By enabling reliable, real-time, and autonomous inventory management, the Catalyst empowers operators to improve SLA compliance, reduce operational costs, strengthen business resilience, and unlock new revenue opportunities such as Network-as-a-Service (NaaS). Digital twin simulations further allow CSPs to anticipate network behavior during major incidents or natural disasters, supporting proactive decision-making and continuous service assurance. Innovative in its integration of predictive AI models, cognitive automation, and simulation capabilities, the solution delivers a unified, standards-based foundation that accelerates a CSP’s journey toward autonomous networks. With measurable improvements in reconciliation speed, predictive accuracy, SLA performance, and customer experience, this Catalyst provides the trusted inventory intelligence needed for resilient, optimized, and future-ready telecom operations.